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There is a non-linear relationship between metric scores and rewards. We need to find a way to approximate the actual importance of any given metric to a project's OP rewards.
The approach used in the scoring algorithm is to:
Minmax normalize across each metric
Apply weights to each normalized metric
Take the power mean of all metrics
Apply the Foundation's business logic for normalizing, capping, and re-allocating rewards so they add up to the total for the round
One approach might be to look at a project's quantile for each metric, apply the weights, sum, and then take the ratios of each metric to the sum.
The text was updated successfully, but these errors were encountered:
What is it?
There is a non-linear relationship between metric scores and rewards. We need to find a way to approximate the actual importance of any given metric to a project's OP rewards.
The approach used in the scoring algorithm is to:
One approach might be to look at a project's quantile for each metric, apply the weights, sum, and then take the ratios of each metric to the sum.
The text was updated successfully, but these errors were encountered: